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ORCIDYuan Cao 0007
Person information
- affiliation: Google Research, Mountain View, CA, USA
- affiliation (former): Johns Hopkins University, Baltimore, MD, USA
Other persons with the same name
- Yuan Cao — disambiguation page
- Yuan Cao 0001
![[0000-0002-3089-0046]](/post-https-dblp.org/img/orcid-mark.12x12.png "0000-0002-3089-0046")
— Changsha University of Science and Technology, School of Mathematics and Statistics, China (and 2 more) - Yuan Cao 0002 — Beijing Jiaotong University, National Engineering Research Center of Rail Transportation, Operation and Control System, China
- Yuan Cao 0003 — Hohai University, College of Internet of Things Engineering, Changzhou, China (and 3 more)
- Yuan Cao 0004 — University of Alabama, Department of Electrical and Computer Engineering, College of Engineering, Tuscaloosa, AL, USA
- Yuan Cao 0005 — Ocean University of China, School of Information Science and Engineering, China (and 2 more)
- Yuan Cao 0006 — University of California, Los Angeles, Department of Computer Science, CA, USA (and 1 more)
Other persons with a similar name
- Mei-Yuan Cao
- Si-Yuan Cao
- Yuan-Cheng Cao
- Yuan-Da Cao
- Yuan-yuan Cao
- Bing-Yuan Cao 0001 (aka: Bing-yuan Cao 0001, Bingyuan Cao 0001) — Guangzhou University, School of Mathematics and Information Science, China (and 3 more)
- Caoyuan Gu (aka: Cao-Yuan Gu)
- Cao Yuan
- Yuan Cao Zhang
- Cao-yuan Zhao
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2020 – today
- 2024
[c37]Chenglin Yang, Siyuan Qiao, Yuan Cao, Yu Zhang, Tao Zhu, Alan L. Yuille, Jiahui Yu:
IG Captioner: Information Gain Captioners Are Strong Zero-Shot Classifiers. ECCV (64) 2024: 474-490- [c36]Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey:
Retrieval Augmented End-to-End Spoken Dialog Models. ICASSP 2024: 12056-12060 - [c35]Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J. Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao:
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. ICRA 2024: 645-652 - [i38]Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey:
Retrieval Augmented End-to-End Spoken Dialog Models. CoRR abs/2402.01828 (2024) - [i37]Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Yuan Cao, Eugene Tarassov, Rémi Munos, Bernardo Ávila Pires, Michal Valko, Yong Cheng, Will Dabney:
Understanding the performance gap between online and offline alignment algorithms. CoRR abs/2405.08448 (2024) - 2023
- [c34]Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu:
SLM: Bridge the Thin Gap Between Speech and Text Foundation Models. ASRU 2023: 1-8 - [c33]Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan:
MUX-PLMs: Data Multiplexing for High-throughput Language Models. EMNLP (Findings) 2023: 4540-4554 - [c32]Jeffrey Zhao, Yuan Cao, Raghav Gupta, Harrison Lee, Abhinav Rastogi, Mingqiu Wang, Hagen Soltau, Izhak Shafran, Yonghui Wu:
AnyTOD: A Programmable Task-Oriented Dialog System. EMNLP 2023: 16189-16204 - [c31]Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R. Narasimhan, Yuan Cao:
ReAct: Synergizing Reasoning and Acting in Language Models. ICLR 2023 - [c30]Hagen Soltau, Izhak Shafran, Mingqiu Wang, Abhinav Rastogi, Jeffrey Zhao, Ye Jia, Wei Han, Yuan Cao, Aramys Miranda:
Speech Aware Dialog System Technology Challenge (DSTC11). INTERSPEECH 2023: 4668-4672 - [c29]Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, Karthik Narasimhan:
Tree of Thoughts: Deliberate Problem Solving with Large Language Models. NeurIPS 2023 - [c28]Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan:
MUX-PLMs: Pre-training Language Models with Data Multiplexing. RepL4NLP@ACL 2023: 196-211 - [i36]Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan:
MUX-PLMs: Pre-training Language Models with Data Multiplexing. CoRR abs/2302.12441 (2023) - [i35]Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan:
Tree of Thoughts: Deliberate Problem Solving with Large Language Models. CoRR abs/2305.10601 (2023) - [i34]Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey:
Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding. CoRR abs/2306.07944 (2023) - [i33]Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Yongqiang Wang, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Zhong Meng, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu:
SLM: Bridge the thin gap between speech and text foundation models. CoRR abs/2310.00230 (2023) - [i32]Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J. Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao:
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. CoRR abs/2311.00899 (2023) - [i31]Chenglin Yang, Siyuan Qiao, Yuan Cao, Yu Zhang, Tao Zhu, Alan L. Yuille, Jiahui Yu:
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers. CoRR abs/2311.17072 (2023) - 2022
- [c27]Harrison Lee, Raghav Gupta, Abhinav Rastogi, Yuan Cao, Bin Zhang, Yonghui Wu:
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems. AAAI 2022: 10938-10946 - [c26]Yong Cheng, Ankur Bapna, Orhan Firat, Yuan Cao, Pidong Wang, Wolfgang Macherey:
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation. ACL (1) 2022: 4092-4102 - [c25]Dian Yu, Mingqiu Wang, Yuan Cao, Laurent El Shafey, Izhak Shafran, Hagen Soltau:
Knowledge-grounded Dialog State Tracking. EMNLP (Findings) 2022: 3428-3435 - [c24]Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao:
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. ICLR 2022 - [c23]Dian Yu, Mingqiu Wang, Yuan Cao, Izhak Shafran, Laurent El Shafey, Hagen Soltau:
Unsupervised Slot Schema Induction for Task-oriented Dialog. NAACL-HLT 2022: 1174-1193 - [c22]Raghav Gupta, Harrison Lee, Jeffrey Zhao, Yuan Cao, Abhinav Rastogi, Yonghui Wu:
Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue. NAACL-HLT 2022: 4541-4549 - [i30]Aditya Siddhant, Ankur Bapna, Orhan Firat, Yuan Cao, Mia Xu Chen, Isaac Caswell, Xavier Garcia:
Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning. CoRR abs/2201.03110 (2022) - [i29]Jeffrey Zhao, Raghav Gupta, Yuan Cao, Dian Yu, Mingqiu Wang, Harrison Lee, Abhinav Rastogi, Izhak Shafran, Yonghui Wu:
Description-Driven Task-Oriented Dialog Modeling. CoRR abs/2201.08904 (2022) - [i28]Yong Cheng, Ankur Bapna, Orhan Firat, Yuan Cao, Pidong Wang, Wolfgang Macherey:
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation. CoRR abs/2203.07627 (2022) - [i27]Raghav Gupta, Harrison Lee, Jeffrey Zhao, Abhinav Rastogi, Yuan Cao, Yonghui Wu:
Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue. CoRR abs/2204.04327 (2022) - [i26]Bowen Liang, Pidong Wang, Yuan Cao:
The Implicit Length Bias of Label Smoothing on Beam Search Decoding. CoRR abs/2205.00659 (2022) - [i25]Ankur Bapna, Isaac Caswell, Julia Kreutzer, Orhan Firat, Daan van Esch, Aditya Siddhant, Mengmeng Niu, Pallavi Baljekar, Xavier Garcia, Wolfgang Macherey, Theresa Breiner, Vera Axelrod, Jason Riesa, Yuan Cao, Mia Xu Chen, Klaus Macherey, Maxim Krikun, Pidong Wang, Alexander Gutkin, Apurva Shah, Yanping Huang, Zhifeng Chen, Yonghui Wu, Macduff Hughes:
Building Machine Translation Systems for the Next Thousand Languages. CoRR abs/2205.03983 (2022) - [i24]Dian Yu, Mingqiu Wang, Yuan Cao, Izhak Shafran, Laurent El Shafey, Hagen Soltau:
Unsupervised Slot Schema Induction for Task-oriented Dialog. CoRR abs/2205.04515 (2022) - [i23]Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao:
ReAct: Synergizing Reasoning and Acting in Language Models. CoRR abs/2210.03629 (2022) - [i22]Dian Yu, Mingqiu Wang, Yuan Cao, Izhak Shafran, Laurent El Shafey, Hagen Soltau:
Knowledge-grounded Dialog State Tracking. CoRR abs/2210.06656 (2022) - [i21]Shen Yan, Tao Zhu, Zirui Wang, Yuan Cao, Mi Zhang, Soham Ghosh, Yonghui Wu, Jiahui Yu:
Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners. CoRR abs/2212.04979 (2022) - [i20]Hagen Soltau, Izhak Shafran, Mingqiu Wang, Abhinav Rastogi, Jeffrey Zhao, Ye Jia, Wei Han, Yuan Cao, Aramys Miranda:
Speech Aware Dialog System Technology Challenge (DSTC11). CoRR abs/2212.08704 (2022) - [i19]Jeffrey Zhao, Yuan Cao, Raghav Gupta, Harrison Lee, Abhinav Rastogi, Mingqiu Wang, Hagen Soltau, Izhak Shafran, Yonghui Wu:
AnyTOD: A Programmable Task-Oriented Dialog System. CoRR abs/2212.09939 (2022) - 2021
- [c21]Jeffrey Zhao, Mahdis Mahdieh, Ye Zhang, Yuan Cao, Yonghui Wu:
Effective Sequence-to-Sequence Dialogue State Tracking. EMNLP (1) 2021: 7486-7493 - [c20]Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath:
Echo State Speech Recognition. ICASSP 2021: 5669-5673 - [c19]Zirui Wang, Yulia Tsvetkov, Orhan Firat, Yuan Cao:
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. ICLR 2021 - [i18]Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath:
Echo State Speech Recognition. CoRR abs/2102.09114 (2021) - [i17]Ye Zhang, Yuan Cao, Mahdis Mahdieh, Jeffrey Zhao, Yonghui Wu:
Improving Longer-range Dialogue State Tracking. CoRR abs/2103.00109 (2021) - [i16]Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao:
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. CoRR abs/2108.10904 (2021) - [i15]Jeffrey Zhao, Mahdis Mahdieh, Ye Zhang, Yuan Cao, Yonghui Wu:
Effective Sequence-to-Sequence Dialogue State Tracking. CoRR abs/2108.13990 (2021) - [i14]Zirui Wang, Adams Wei Yu, Orhan Firat, Yuan Cao:
Towards Zero-Label Language Learning. CoRR abs/2109.09193 (2021) - [i13]Harrison Lee, Raghav Gupta, Abhinav Rastogi, Yuan Cao, Bin Zhang, Yonghui Wu:
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems. CoRR abs/2110.06800 (2021) - 2020
- [c18]Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Xu Chen, Sneha Reddy Kudugunta, Naveen Arivazhagan, Yonghui Wu:
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation. ACL 2020: 2827-2835 - [c17]Yuan Cao, Sanjeev Khudanpur:
Sample Selection for Large-scale MT Discriminative Training. AMTA 2020 - [c16]Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Yonghui Wu:
Fully-Hierarchical Fine-Grained Prosody Modeling For Interpretable Speech Synthesis. ICASSP 2020: 6264-6268 - [c15]Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Andrew Rosenberg, Bhuvana Ramabhadran, Yonghui Wu:
Generating Diverse and Natural Text-to-Speech Samples Using a Quantized Fine-Grained VAE and Autoregressive Prosody Prior. ICASSP 2020: 6699-6703 - [i12]Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Yonghui Wu:
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis. CoRR abs/2002.03785 (2020) - [i11]Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Andrew Rosenberg, Bhuvana Ramabhadran, Yonghui Wu:
Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior. CoRR abs/2002.03788 (2020) - [i10]Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Xu Chen, Sneha Reddy Kudugunta, Naveen Arivazhagan, Yonghui Wu:
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation. CoRR abs/2005.04816 (2020) - [i9]Zirui Wang, Yulia Tsvetkov, Orhan Firat, Yuan Cao:
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. CoRR abs/2010.05874 (2020) - [i8]Mahdis Mahdieh, Mia Xu Chen, Yuan Cao, Orhan Firat:
Rapid Domain Adaptation for Machine Translation with Monolingual Data. CoRR abs/2010.12652 (2020)
2010 – 2019
- 2019
- [c14]Ye Jia, Melvin Johnson, Wolfgang Macherey, Ron J. Weiss, Yuan Cao, Chung-Cheng Chiu, Naveen Ari, Stella Laurenzo, Yonghui Wu:
Leveraging Weakly Supervised Data to Improve End-to-end Speech-to-text Translation. ICASSP 2019: 7180-7184 - [c13]Wei-Ning Hsu, Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, Patrick Nguyen, Ruoming Pang:
Hierarchical Generative Modeling for Controllable Speech Synthesis. ICLR (Poster) 2019 - [c12]Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu:
Gmail Smart Compose: Real-Time Assisted Writing. KDD 2019: 2287-2295 - [i7]Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon:
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR abs/1902.08295 (2019) - [i6]Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu:
Gmail Smart Compose: Real-Time Assisted Writing. CoRR abs/1906.00080 (2019) - [i5]Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Dmitry Lepikhin, Melvin Johnson, Maxim Krikun, Mia Xu Chen, Yuan Cao, George F. Foster, Colin Cherry, Wolfgang Macherey, Zhifeng Chen, Yonghui Wu:
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges. CoRR abs/1907.05019 (2019) - 2018
- [c11]Ankur Bapna, Mia Xu Chen, Orhan Firat, Yuan Cao, Yonghui Wu:
Training Deeper Neural Machine Translation Models with Transparent Attention. EMNLP 2018: 3028-3033 - [i4]Ankur Bapna, Mia Xu Chen, Orhan Firat, Yuan Cao, Yonghui Wu:
Training Deeper Neural Machine Translation Models with Transparent Attention. CoRR abs/1808.07561 (2018) - [i3]Wei-Ning Hsu, Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, Patrick Nguyen, Ruoming Pang:
Hierarchical Generative Modeling for Controllable Speech Synthesis. CoRR abs/1810.07217 (2018) - [i2]Ye Jia, Melvin Johnson, Wolfgang Macherey, Ron J. Weiss, Yuan Cao, Chung-Cheng Chiu, Naveen Ari, Stella Laurenzo, Yonghui Wu:
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation. CoRR abs/1811.02050 (2018) - 2016
- [i1]Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, Jeffrey Dean:
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. CoRR abs/1609.08144 (2016) - 2015
- [j1]Matt Post, Yuan Cao, Gaurav Kumar:
Joshua 6: A phrase-based and hierarchical statistical machine translation system. Prague Bull. Math. Linguistics 104: 5-16 (2015) - 2014
- [c10]Yuan Cao, Sanjeev Khudanpur:
Online Learning in Tensor Space. ACL (1) 2014: 666-675 - [c9]Gaurav Kumar, Yuan Cao, Ryan Cotterell, Chris Callison-Burch, Daniel Povey, Sanjeev Khudanpur:
Translations of the Callhome Egyptian Arabic corpus for conversational speech translation. IWSLT 2014 - 2013
- [c8]Matt Post, Juri Ganitkevitch, Luke Orland, Jonathan Weese, Yuan Cao, Chris Callison-Burch:
Joshua 5.0: Sparser, Better, Faster, Server. WMT@ACL 2013: 206-212 - 2012
- [c7]Puyang Xu, Sanjeev Khudanpur, Maider Lehr, Emily Tucker Prud'hommeaux, Nathan Glenn, Damianos Karakos, Brian Roark, Kenji Sagae, Murat Saraclar, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley:
Continuous space discriminative language modeling. ICASSP 2012: 2129-2132 - [c6]Kenji Sagae, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos Karakos, Sanjeev Khudanpur, Brian Roark, Murat Saraclar, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley:
Hallucinated n-best lists for discriminative language modeling. ICASSP 2012: 5001-5004 - [c5]Arda Çelebi, Hasim Sak, Erinç Dikici, Murat Saraclar, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos Karakos, Sanjeev Khudanpur, Brian Roark, Kenji Sagae, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley:
Semi-supervised discriminative language modeling for Turkish ASR. ICASSP 2012: 5025-5028 - [c4]Damianos Karakos, Brian Roark, Izhak Shafran, Kenji Sagae, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Sanjeev Khudanpur, Murat Saraclar, Daniel M. Bikel, Mark Dredze, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley:
Deriving conversation-based features from unlabeled speech for discriminative language modeling. INTERSPEECH 2012: 202-205 - [c3]Antti-Veikko I. Rosti, Xiaodong He, Damianos Karakos, Gregor Leusch, Yuan Cao, Markus Freitag, Spyros Matsoukas, Hermann Ney, Jason Smith, Bing Zhang:
Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding. WMT@NAACL-HLT 2012: 191-199 - [c2]Juri Ganitkevitch, Yuan Cao, Jonathan Weese, Matt Post, Chris Callison-Burch:
Joshua 4.0: Packing, PRO, and Paraphrases. WMT@NAACL-HLT 2012: 283-291 - 2011
- [c1]Daguang Xu, Yuan Cao, Damianos Karakos:
Description of the JHU System Combination Scheme for WMT 2011. WMT@EMNLP 2011: 171-176
Coauthor Index
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